Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (11): 2273-2284.doi: 10.11947/j.AGCS.2022.20210185

• Geodesy and Navigation • Previous Articles     Next Articles

CLAMBDA method with additional scaling factor for GNSS ambiguity resolution

LU Liguo1,2, MA Liye3, LIU Wanke4, WU Tangting1, HU Weijian1   

  1. 1. School of Geomatics, East China University of Technology, Nanchang 330013, China;
    2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541006, China;
    3. GNSS Research Center, Wuhan University, Wuhan 430079, China;
    4. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
  • Received:2021-04-15 Revised:2022-09-26 Published:2022-11-30
  • Supported by:
    The National Natural Science Foundation of China (Nos. 42264003; 41804020; 41774031; 41861058); Key Laboratory of Spatial Information and Geomatics (Guilin University of Technology)(No. 19-185-10-10)

Abstract: Under the weak global navigation satellite system (GNSS) model, the initial search space of constrained LAMBDA (CLAMBDA) is too large, which leads to the problem of low ambiguity resolution efficiency. In the paper, an adaptive adjust search space for bounding functions search and shrink strategy (ASS) algorithm based on scaling factor is proposed, and the influence of setting the initial space with upper and lower boundaries on ASS algorithm is discussed. Then the performance of ASS algorithm is experimentally verified through two sets of measured examples. The results show that ASS algorithm with scaling factor can effectively adjust the search space and improve the search efficiency. Besides, setting the initial space based on the lower boundary can further improve the performance of ASS algorithm.

Key words: GNSS, ambiguity resolution, CLAMBDA, search space, scaling factor

CLC Number: